{"id":"W1983945956","doi":"10.1007/s11270-014-2265-6","title":"Microbial Communities, Biomass, and Carbon Mineralization in Acidic, Nutrient-Poor Peatlands Impacted by Metal and Acid Deposition","year":2015,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; University of Toronto; Trent University","funders":"University of Guelph","keywords":"Peat; Environmental chemistry; Sphagnum; Mineralization (soil science); Nutrient; Humus; Biomass (ecology); Environmental science; Chemistry; Ecology; Soil science; Biology; Soil water","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001535426,0.0001866277,0.0002101338,0.0004822412,0.0004902296,0.0005158347,0.0001539957,0.0002386632,0.0004414862],"category_scores_gemma":[0.0002266787,0.0001752292,0.0001468992,0.0002871364,0.0004172324,0.0002754348,0.0004146893,0.0001714002,0.00007604901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651654,"about_ca_system_score_gemma":0.000328213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785867,"about_ca_topic_score_gemma":0.02930967,"domain_scores_codex":[0.9998931,0.00001608138,0.000009334395,0.00002757989,0.00001789086,0.00003611577],"domain_scores_gemma":[0.9998671,0.00002213582,0.00002769643,0.000005316574,0.00002737371,0.00005038071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002246754,0.0002093139,0.556242,0.00008043703,0.00009800371,0.0004420893,0.001356455,0.0008661629,0.4329845,0.0001823941,0.00005583524,0.00523597],"study_design_scores_gemma":[0.000008900891,0.0001503464,0.9918197,0.000003816859,0.00001731957,0.0001206186,0.0009171694,0.0008416063,0.005900051,0.0000754238,0.0001401427,0.000004936929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999893,0.00001396219,0.00001269949,0.000001323052,2.582311e-7,5.896341e-7,0.00002378714,2.908918e-7,0.00005408589],"genre_scores_gemma":[0.9996789,0.00002528591,0.0000447671,0.000003088308,7.132576e-7,0.000001728824,0.00007538986,4.442139e-7,0.0001697688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785867,"threshold_uncertainty_score":0.03550947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233927961278002,"score_gpt":0.1978518287581176,"score_spread":0.1896179007968396,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}